KR20120134333A - System, mobile terminal and method for displaying visually 3d modeling of self-diagnosis status of vehicle - Google Patents

Abstract

PURPOSE: A system for visually displaying a self-diagnosis state of a vehicle, a mobile terminal, and a method thereof are provided to enable users to check the failure and malfunction of spare parts in various angles. CONSTITUTION: A system for visually displaying a self-diagnosis state of a vehicle includes a self-diagnosis unit(100) and a mobile terminal(200). The self-diagnosis unit controls each part of a vehicle(110) for checking the malfunction of the part and generating self-diagnosis information. The mobile terminal uses a camera moving around the vehicle, a GPS module, a position sensor, or an RFID reader to obtain location and image information of the vehicle.

Description

MOBILE TERMINAL AND METHOD FOR DISPLAYING VISUALLY 3D MODELING OF SELF-DIAGNOSIS STATUS OF VEHICLE}

The present invention relates to a system, a mobile terminal, and a method for visually displaying a self-diagnosis state of a vehicle. More particularly, the present invention relates to a system, a mobile terminal, and a method for three-dimensional modeling and displaying a self-diagnosis state in a three-dimensional visual form. It is about.

In general, it is fortunate to check the parts failure of the vehicle in operation, but most of them are located deep inside the car, so it is not known which parts are broken and tended to lead to large accidents. In this case, it was only possible to know which parts were defective after leaving the broken car to the car shop and inspecting it.

In order to prevent such a situation in advance, recently, by controlling the failure state of each component and displaying it in a user-friendly interface environment (GUI) or by sound, it was possible to confirm the diagnosis state of the failure even without a vehicle maintenance expert. . As such, the system provided by the user's convenience is referred to as a 'self-diagnosis system'.

The self-diagnosis system has a form in which the failure diagnosis state is displayed in text form or displayed in 2D image by using augmented reality technology. For example, when the fault diagnosis status is displayed in a 2D image, the faulty parts are unfamiliar and the location of the failing parts is not known, so the severity of the fault is still unknown. In this case, the risk of an accident still exists.

According to another aspect, in recent years, as the wireless Internet technology has developed, it has been developed as a web application form of the smart phone so that the smartphone can check the failure state of the vehicle. However, as described above, the web application of the smart phone has been in a level of providing a diagnosis status in text form or 2D image.

The present invention has been made to solve the above-described problem, a system, a mobile terminal and a method for displaying three-dimensional visual images by modeling the self-diagnostic state of the vehicle in response to the position of the mobile terminal around the vehicle in three dimensions The purpose is to provide.

In order to achieve the object of the present invention as described above, and to perform the characteristic functions of the present invention described below, the characteristic configuration of the present invention is as follows.

According to one aspect of the present invention, there is provided a system for visually displaying a self-diagnosis state of a vehicle by three-dimensional modeling, wherein the self-diagnosis state information is generated by controlling each part of the vehicle to determine whether the respective parts are faulty. Diagnostic devices; And at least one or more of a camera, a GPS module, a position sensor, and an RFID reader moving around the vehicle to obtain position information and image information of the vehicle, and based on the position information of the vehicle, a perspective image converted from the image information. Provided is a vehicle diagnostic system including a mobile terminal configured to map information and the self-diagnostic state information to implement a self-diagnostic state of a vehicle in a 3D image.

The position sensor may be one of an acceleration sensor for measuring acceleration, a motion sensor for measuring X, Y, and θ triangles of the vehicle, and a geomagnetic sensor for measuring the azimuth angle of the vehicle.

The mobile terminal may acquire location information of the vehicle as a result of 3D tracking a specific direction of the vehicle by at least one of a camera, a GPS module, a position sensor, and an RFID reader.

The self-diagnostic apparatus may generate self-diagnostic state information including diagnostic code information in a normal state and diagnostic code information in a fault state as a self-diagnosis result for each component.

In addition, the self-diagnosis apparatus and the mobile terminal may be connected to any one local area network among Bluetooth, WiFi, RFID, and Multi FEM.

According to another aspect of the present invention, there is provided a mobile terminal for visually displaying a self-diagnosis state of a vehicle by three-dimensional modeling, wherein the diagnosis is performed by acquiring self-diagnosis state information generated by determining whether a failure of each component of the vehicle is performed. Code acquisition unit; An image information acquisition unit which acquires image information captured by a camera moving around the vehicle in real time; A location information acquisition unit that acquires 3D location information of the vehicle as a result of 3D tracking a specific direction of the vehicle using at least one of the camera, a GPS module, a location sensor, and an RFID reader; A perspective image extracting unit extracting perspective image information of the vehicle based on the 3D location information corresponding to the image information; An information mapping unit for mapping the self-diagnostic state information to the perspective image information based on the 3D position information; And a screen display unit displaying a self-diagnosis state of the vehicle, which is a result of the mapping in the information mapping unit, as a 3D image.

Here, the diagnostic code obtaining unit may acquire, through the local area network, self-diagnostic status information including diagnostic code information in a normal state and diagnostic code information in a fault state as a self-diagnosis result for each component.

The position sensor may be any one of an acceleration sensor for measuring acceleration, a camera / motion sensor for measuring X, Y, and θ triangles of a vehicle, and a geomagnetic sensor for measuring an azimuth of the vehicle.

According to still another aspect of the present invention, there is provided a method for visually displaying a self-diagnosis state of a vehicle by three-dimensional modeling, the method comprising: (a) acquiring position information of a vehicle at a predetermined position around the vehicle; (b) determining perspective image information of the vehicle from image information of the vehicle photographed at the predetermined position based on the position information of the vehicle; (c) acquiring self-diagnosis status information on whether each component of the vehicle has failed; (d) determining second self-diagnosis state information to be shown in the perspective image information of the vehicle among the self-diagnosis state information; And (e) mapping and displaying the second self-diagnostic state information on the perspective image information.

Here, in step (a), the location information of the vehicle may be obtained as a result of tracking the vehicle based on the location information of the mobile terminal acquired by the GPS module.

In addition, in the step (a), the position information of the vehicle may be obtained using at least one of an acceleration measuring technique, an X, Y, θ triangular measuring technique, an azimuth measuring technique, a head trekking measuring technique, and an RFID position measuring technique. Can be.

In addition, the acceleration measurement technique, the X, Y, θ triangular measurement technique, azimuth measurement technique and head tracking measurement technique may be implemented by a motion sensor or a camera linked with the GPS module.

According to the present invention, by displaying the self-diagnostic state on different transmission images according to the mobile terminal moving around the vehicle, it is possible to check the failure state and the severity of the component in three dimensions from various angles to check and repair the vehicle. Convenience can be attained, and the effect which enables safe driving of a vehicle is achieved.

In addition, according to the present invention, even a component failure of an unfamiliar vehicle can be confirmed in three dimensions, and an effect that can be easily repaired is achieved even without extensive parts knowledge.

1 is a view showing a vehicle diagnostic system according to a first embodiment of the present invention by way of example.
2 is a diagram exemplarily illustrating a mobile terminal 200 disposed at various angles according to the first embodiment of the present invention.
3 is a diagram illustrating a software configuration of the mobile terminal 200 according to the first embodiment of the present invention.
4 and 5 are diagrams exemplarily illustrating a result of a self-diagnosis state displayed in mobile terminals at different locations according to the first embodiment of the present invention.
FIG. 6 is a diagram for exemplarily describing a method (S300) for visually providing a 3D model of a self-diagnosis state of a vehicle according to a second embodiment of the present disclosure.

Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings so that the present invention may be easily implemented by those skilled in the art.

First Embodiment

1 is a view showing a vehicle diagnostic system according to a first embodiment of the present invention by way of example.

As shown in FIG. 1, the vehicle diagnostic system according to the first exemplary embodiment of the present invention is a system for three-dimensional modeling and displaying a self-diagnostic state of the vehicle 110 in a three-dimensional view, and is mounted in the vehicle interior 110. The self-diagnosis apparatus 100 and the mobile terminal 200 are configured.

The self-diagnosis apparatus 100 of the present invention controls each component of the vehicle 110 to determine whether each component is faulty, and provides diagnostic code information in a normal state and diagnostic code information in a fault state as a self-diagnosis result for each component. It is responsible for generating self-diagnostic status information, including.

The mobile terminal 200 of the present invention is equipped with at least one or more of a camera, a GPS module, a position sensor and an RFID reader to record an image of the vehicle 110 while moving around the vehicle 110, and itself and the vehicle 110. Serves to obtain location information. At this time, the reason for acquiring the position information of the vehicle 110 with the self is to map the self-diagnostic state information sent from the self-diagnosis apparatus 100 to the projected image of the vehicle 110 to three-dimensionally model the self-diagnostic image. .

Referring to the three-dimensional modeling process in more detail, first, the mobile terminal 200 of the present invention uses at least one or more of a camera, a GPS module, a position sensor, and an RFID reader moving around the vehicle 110. It is possible to obtain the position information and image information of the camera, the camera is used as a means for taking an image of the vehicle 110 projected at a specific position, and to measure the X, Y, θ triangle of the vehicle 110, GPS The module is used to check the location of the mobile terminal 200 by performing a GPS function.

On the other hand, the position detection sensor of the present invention is an acceleration sensor for measuring the acceleration in order to assist in obtaining the position information of the vehicle 110, a motion sensor for measuring the X, Y, θ triangle of the vehicle 110, and the vehicle One of the geomagnetic sensors for measuring the azimuth angle of the 110.

Another RFID reader is used to acquire location information of the vehicle 110 in conjunction with an RFID tag attached to the vehicle 110. The method for acquiring the position information of the vehicle 110 through the RFID reader and the RFID tag is disclosed in more detail in the object position recognition apparatus and the method using the RFID of the Republic of Korea Patent Publication No. 10-2005-0045058 It became. Therefore, it is to be understood that the present invention employs Korean Patent Publication No. 10-2005-0045058 as part of the present invention.

Accordingly, the mobile terminal 200 according to the present invention uses the at least one of a camera, a GPS module, a position sensor, and an RFID reader to 3D track a specific direction of the vehicle 110 as a result of position information of the vehicle 110. 3D to obtain a specific direction of the vehicle 110 by using at least one of a camera, a position sensor, and an RFID reader based on the position information of the mobile terminal 200 identified by the GPS module. By tracking, the location information of the vehicle 110 can be obtained.

Herein, as described above, the location information of the specific direction of the vehicle 110 is obtained. However, when the mobile terminal 200 moves around the vehicle 110 by the user, the location information of all directions around the vehicle 110 may be obtained. Recall that there is a feature of the invention upon acquisition. This example is shown in FIG. That is, in FIG. 2 exemplarily shows the states of the first mobile terminal 210, the second mobile terminal 220, and the third mobile terminal 230 disposed at various angles, according to the position of each mobile terminal. As an example, location information of another type of vehicle 110 can be obtained.

When the position information and the image information of the vehicle 110 are obtained as described above, the mobile terminal 200 of the present invention plays a role of converting the image information into the perspective image information based on the position information. Here, the conversion is used as a meaning including a process of extracting perspective image information corresponding to image information photographed at a specific position from previously stored perspective image information.

When converted to the perspective image information, the mobile terminal 200 of the present invention is based on the position information of the vehicle 110 and the perspective image information converted from the image information and the self-diagnostic state information sent from the self-diagnosis apparatus 100 By mapping, the self-diagnosis state of the vehicle 110 is displayed as a 3D image. An example of the self-diagnosis state displayed on the display device of the mobile terminal 200 as described above may be shown in FIGS. 4 and 5, which will be described later.

On the other hand, between the self-diagnosis apparatus 100 and the mobile terminal 200 of the present invention is connected to any one local area network of Bluetooth, WiFi, RFID and Multi FEM. As a result, the mobile terminal 200 of the present invention can receive the self-diagnosis status information of the self-diagnosis apparatus 100.

Hereinafter, FIG. 3 will be described in more detail with respect to the mobile terminal 200 performing the functions of the software described above.

3 is a diagram illustrating a software configuration of the mobile terminal 200 according to the first embodiment of the present invention.

Referring to FIG. 3, the mobile terminal 200 of the present invention is a terminal for three-dimensional modeling and displaying a self-diagnostic state of the vehicle 110 in a three-dimensional perspective. The diagnostic code obtaining unit 201 and the image information obtaining unit ( 202, a location information acquisition unit 203, a perspective image extraction unit 204, an information mapping unit 205, and a screen display unit 206.

First, the diagnostic code acquisition unit 201 of the present invention performs a role of acquiring the self-diagnostic state information generated by determining whether a failure of each component of the vehicle 110 is generated from the self-diagnosis apparatus 100 via a local area network. do. The acquired self-diagnosis status information is recorded in the storage memory, and includes diagnostic code information in a normal state and diagnostic code information in a fault state as self-diagnosis results for each component.

Next, the image information acquisition unit 202 of the present invention performs a role of obtaining image information captured (photographed) by a camera moving around the vehicle 110 in real time, and the position information acquisition unit 203 of the present invention. 3D tracks a specific direction of the vehicle 110 using at least one of a camera, a GPS module, a position sensor, and an RFID reader to obtain 3D position information of the vehicle 110.

At this time, the position sensor is an acceleration sensor for measuring the acceleration of the vehicle 110 used to obtain the position information of the vehicle 110, a motion sensor for measuring the X, Y, θ triangle of the vehicle 110, and It may be any one of the geomagnetic sensor for measuring the azimuth angle of the vehicle 110, it may be provided in plurality each to measure the 360 ° surroundings of the vehicle (110). When provided in plural numbers, when the detection area positions of the vehicle 110 overlap, they may be distinguished by separate algorithms for distinguishing them.

For example, the acceleration sensor of the present invention calculates an acceleration value of the vehicle 110 according to the movement of the mobile terminal 200, integrates it to obtain a speed value, and then integrates again to obtain a position value of the vehicle 110. You can do it.

Next, the perspective image extractor 203 of the present invention extracts the perspective image information of the vehicle 110 in response to the image information based on the 3D position information acquired by the position information acquirer 202. do. Extraction at this time is, for example, when the mobile terminal 210 at the position 210 of FIG. 2 photographs the image of the vehicle 110, the image taken from the position in the form of a perspective image based on the 3D position information Same as the principle of conversion. The perspective image was used as a term referring to information extracted (converted) from previously stored information.

Next, the information mapping unit 204 of the present invention maps the self-diagnostic state information acquired by the diagnostic code acquisition unit 201 to the fluoroscopic image information based on the 3D position information acquired by the position information acquisition unit 203. Perform the process. When this process is completed, the self-diagnostic state information can be obtained in real time in accordance with the perspective image of the vehicle 110, which depends on the position of the mobile terminal 200 moving around the vehicle 110. .

Finally, the screen display unit 205 of the present invention serves to display the self-diagnosis state of the vehicle 110, which is a result of the mapping in the information mapping unit 204, as a 3D image. Thus, the owner of the mobile terminal 200 can see the self-diagnostic state in three-dimensional image in real time according to the position of the vehicle 110 that he wants to search, thereby accurately and conveniently confirm his vehicle failure state. Will be.

Display screen example of mobile terminal

4 and 5 are diagrams exemplarily illustrating a result of a self-diagnosis state displayed in mobile terminals at different locations according to the first embodiment of the present invention.

First, FIG. 4 illustrates the second mobile terminal 220 of FIG. 2 located on the side of the vehicle 110, and the vehicle viewed from the side of the vehicle 110 on the display screen 221 of the second mobile terminal 220. The perspective image 150 of 110 and the self-diagnostic states 131 to 138 mapped to the perspective image 150 are modeled three-dimensionally and displayed in three-dimensional images. As the self-diagnosis state, the battery 131, the transmission 132, the turn indicator 133, the disc brake 134, the fuel tank 135, the fuel injection unit 136, the drum brake 137 and the automatic Parts such as the gear device 138 are displayed, and it can be confirmed that the transmission 132, the disc brake 134, and the fuel injection unit 136 have failed.

On the other hand, FIG. 5 illustrates the third mobile terminal 220 of FIG. 2 positioned in front of the vehicle 110, and the vehicle viewed from the front of the vehicle 110 on the display screen 231 of the third mobile terminal 230. Three-dimensional modeling of the self-diagnostic state mapped to the perspective image 150 and the perspective image 150 of 110 is shown in three dimensions. As the self-diagnosis state, the battery 131, the transmission 132, the disc brakes 134 and 140, the automatic gear device 138, the radiator 139, the distributor 141, the spark plug 142 and the power steering lamp ( Parts such as 143 are displayed, and it is possible to confirm that the transmission 132 and the disc brake 134 have failed, among which, a slightly different failure state can be confirmed in each position compared to FIG. 4.

As such, the perspective image 150 viewing the vehicle 110 and the result of the self-diagnosis state are shown differently according to the position of the mobile terminal 200, so that the cause of the failure state can be closely examined from various angles. Will be provided.

Second Embodiment

FIG. 6 is a diagram for exemplarily describing a method (S300) for visually providing a 3D model of a self-diagnosis state of a vehicle according to a second embodiment of the present disclosure.

Referring to FIG. 6, a method S300 for three-dimensional modeling and displaying a self-diagnosis state of a vehicle according to a second embodiment of the present invention in three-dimensional perspective may include (a) a vehicle at a predetermined position around the vehicle 110. Acquiring position information of 110 (S310); (S320) determining the perspective image information of the vehicle (110) from the image information of the vehicle (110) taken at the predetermined position based on the position information of the vehicle (110); (c) acquiring self-diagnosis state information on whether each component of the vehicle 110 has failed (S330); (d) determining second self-diagnosis state information to be shown in the perspective image information of the vehicle 110 among the self-diagnosis state information (S340); And (e) mapping and displaying the second self-diagnostic state information on the perspective image information (S350).

In more detail with respect to each step, step S310 of the present invention to obtain the location information of the vehicle 110 as a result of tracking the vehicle 110 from the location information of the mobile terminal obtained by the GPS module as a starting point. Here, the position information is a result obtained by using at least one of acceleration measurement technique, X, Y, θ triangulation measurement technique, azimuth measurement technique, head tracking measurement technique and RFID position measurement technique.

Acceleration measurement technique is a technique of obtaining the position value of the vehicle 110 from the acceleration value measured from the acceleration sensor, X, Y, θ triangular measurement technique X, Y, θ measured from a camera or a motion sensor mounted on the mobile terminal This is a technique of acquiring a position value of the vehicle 110 using a triangular measurement value of, and the head tracking measurement technique uses a motion detection sensor to check the position change of the vehicle 110 according to the position of the motion detection sensor. It is a technique to obtain. The RFID position measuring technique is a technique of obtaining a position value of the vehicle 110 by interworking an RFID tag and a reader period.

Next, the determination of the perspective image information in step S320 of the present invention may be completed by extracting (converting) the perspective image information of the vehicle corresponding to the image information of the vehicle 110 photographed at a specific position of the mobile terminal. . In this way, image information photographed at all positions of the vehicle 110 is converted into a perspective image information form.

Next, the acquisition of the self-diagnosis state information in step S330 of the present invention is based on a result of determining whether or not the failure diagnosis for each part in the vehicle 110 by using the self-diagnostic apparatus installed in the vehicle 110, the magnetic at this time The diagnostic status information means that the diagnostic code information in the normal state and the diagnostic code information in the fault state are included.

Here, the self-diagnosis status information acquisition is performed in the mobile terminal connected to the local area network from the mobile terminal to obtain the self-diagnosis information from the self-diagnosis apparatus.

Next, the second self-diagnosis state information determination in step S340 of the present invention is based on the position information of the vehicle 110, the second self-diagnosis of the self-diagnostic state information of the vehicle 110 previously stored in accordance with the perspective image information This can be accomplished by extracting the state information from the mobile terminal.

When the second self-diagnostic state information is extracted as described above, in operation S350 of the present invention, the second self-diagnostic state information is mapped to the perspective image information to complete three-dimensional modeling, thereby displaying the self-diagnostic state as a three-dimensional image. It will be possible.

As described above, in the second embodiment, the position of the vehicle is calculated by using the position information of the vehicle in the mobile terminal, and based on this, the perspective image information and the second self-diagnostic state information of the vehicle suitable for arbitrary image information are extracted. By mapping the self-diagnostic state from time to time according to a predetermined position around the vehicle, there is a great advantage in making the self-diagnostic state in three dimensions.

On the other hand, each step described above is performed as a mobile terminal moving around the vehicle, but is not limited to this, it may be a unique dedicated terminal that is not connected to the mobile communication network.

While the present invention has been particularly shown and described with reference to exemplary embodiments thereof, it is to be understood that the invention is not limited to the exemplary embodiments or constructions. You can understand that you can do it. The embodiments described above are therefore to be considered in all respects as illustrative and not restrictive.

100: self-diagnosis device 110: self-diagnosis device
200: mobile terminal 201: diagnostic code acquisition unit
202: image information acquisition unit 203: location information acquisition unit
204: Perspective image extraction unit 205: Information mapping unit
206: screen display unit 210: first mobile terminal
220: second mobile terminal 230: third mobile terminal

Claims (12)

As a system for displaying three-dimensional modeling of the self-diagnosis state of the vehicle in a three-dimensional view,
A self-diagnostic apparatus for controlling each component of the vehicle to determine whether each component is broken and to generate self-diagnostic state information; And
Perspective image information converted from the image information based on the position information of the vehicle is obtained by using at least one or more of a camera, a GPS module, a position sensor, and an RFID reader moving around the vehicle. And a mobile terminal configured to map the self-diagnostic state information to realize a 3-D image of the self-diagnostic state of the vehicle.
Vehicle diagnostic system comprising a. The method of claim 1,
The position detection sensor,
And any one of an acceleration sensor for measuring an acceleration, a motion sensor for measuring an X, Y, θ triangle of the vehicle, and a geomagnetic sensor for measuring an azimuth of the vehicle. The method of claim 2,
The mobile terminal includes:
And at least one of a camera, a GPS module, a position sensor, and an RFID reader acquires the position information of the vehicle as a result of 3D tracking the specific direction of the vehicle. The method of claim 2,
The magnetic diagnostic device,
And the self-diagnosis status information including the diagnosis code information in the normal state and the diagnosis code information in the fault state as self-diagnosis results for the respective parts. The method of claim 2,
Between the self-test device and the mobile terminal,
The vehicle diagnostic system of claim 1, wherein the vehicle diagnostic system is connected to any one of a local area network of Bluetooth, WiFi, RFID, and Multi FEM. As a mobile terminal for displaying three-dimensional modeling of the self-diagnostic state of the vehicle in a three-dimensional view,
A diagnostic code acquiring unit for determining self-diagnosis state information generated by determining whether a failure of each component of the vehicle is performed;
An image information acquisition unit which acquires image information captured by a camera moving around the vehicle in real time;
A location information acquisition unit that acquires 3D location information of the vehicle as a result of 3D tracking a specific direction of the vehicle using at least one of the camera, a GPS module, a location sensor, and an RFID reader;
A perspective image extracting unit extracting perspective image information of the vehicle based on the 3D location information corresponding to the image information;
An information mapping unit for mapping the self-diagnostic state information to the perspective image information based on the 3D position information; And
A screen display unit displaying a self-diagnosis state of the vehicle as a result of mapping by the information mapping unit as a 3D image;
Mobile terminal comprising a. The method according to claim 6,
The diagnostic code obtaining unit,
And the self-diagnosis status information including the diagnosis code information in the normal state and the diagnosis code information in the fault state as a result of the self-diagnosis for each component through the local area network. The method according to claim 6,
The position detection sensor,
And any one of an acceleration sensor for measuring acceleration, a camera / motion sensor for measuring an X, Y, θ triangle of the vehicle, and a geomagnetic sensor for measuring an azimuth of the vehicle. As a method for displaying three-dimensional modeling of the self-diagnosis state of the vehicle in a three-dimensional view,
(a) obtaining location information of the vehicle at a predetermined position around the vehicle;
(b) determining perspective image information of the vehicle from image information of the vehicle photographed at the predetermined position based on the position information of the vehicle;
(c) acquiring self-diagnosis status information on whether each component of the vehicle has failed;
(d) determining second self-diagnosis state information to be shown in the perspective image information of the vehicle among the self-diagnosis state information; And
(e) mapping and displaying the second self-diagnostic state information on the perspective image information;
≪ / RTI > The method of claim 9,
The step (a)
And obtaining location information of the vehicle as a result of tracking the vehicle based on the location information of the mobile terminal obtained by the GPS module. The method of claim 10,
The step (a)
And obtaining position information of the vehicle using at least one of an acceleration measurement technique, an X, Y, θ triangulation technique, an azimuth measurement technique, a head tracking measurement technique, and an RFID position measurement technique. 12. The method of claim 11,
The acceleration measuring technique, the X, Y, θ triangular measuring technique, the azimuth measuring technique and the head trekking measuring technique are implemented by a motion sensor or a camera linked with a GPS module.

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